Skip to content
EvidenceHelixEvidenceLib · Scientific Encyclopedia
⌘ K

Scientific library

EvidenceLib encyclopediaAll articles A–Z2,100Open textbooks2Cancer study catalog458How it is made

My workspace this browser

Saved pages0Notes & annotations0

Recently viewed

Explore by field

Cancer and Oncology107Genetics and Genomics95Neuroscience110Cardiovascular Medicine105Immunology90Pharmacology99Molecular Biology100Infectious Diseases102Rare and Inherited Diseases106Clinical Research98Anatomy and Physiology542Drugs and Chemicals546
Plans & pricingCompare EvidenceHelix workspace plans
Library›EvidenceLib›Anatomy and Physiology›Glycemic Index
Explore more with EvidenceHelix Workspace

Compare studies, analyze evidence and create research reports with premium tools.

Explore Researcher plans

Research reading room

Glycemic Index

Anatomy and Physiology · NLM MeSH · updated 2026-10-31 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

A numerical system of measuring the rate of blood glucose generation from a particular food item as compared to a reference item, such as glucose = 100.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (938 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A numerical system of measuring the rate of blood glucose generation from a particular food item as compared to a reference item, such as glucose = 100. Foods with higher glycemic index numbers create greater blood sugar swings.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Glycemic Indices; Glycemic Index Number; Glycemic Index Numbers.

Where it fits in the MeSH classification

Broader topics
Nutritive Value
See also
Blood Glucose

Related concepts

  • Blood Glucose

Research landscape

PubMed indexes 4,161 records tagged with the MeSH heading “Glycemic Index” (counts retrieved 2026-10-31). 1,005 of them (24.2%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 2,133 records.

Reviews account for 773 records (18.6%) and meta-analyses for 166. Randomized controlled trials number 918 (22.1%) as a share of all records on the topic. Randomized trials make up a comparatively large share of this literature, which means many treatment questions have been tested directly.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 1,090 records; 2010-2019: 2,133 records; 2020 onward: 1,005 records0through 19991,0902000-20092,1332010-20191,0052020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20091,090
2010-20192,133
2020 onward1,005
Share of records by publication typeReviews: 18.6 percent; Meta-analyses: 4.0 percent; Randomized controlled trials: 22.1 percentReviews18.6% (773)Meta-analyses4.0% (166)Randomized controlled trials22.1% (918)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 4,161 PubMed records
TypeRecordsShare
Reviews77318.6%
Meta-analyses1664.0%
Randomized controlled trials91822.1%

Method: PubMed query "Glycemic Index"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in anatomy and physiology

Anatomy describes how body structures are built and physiology describes how they normally work, so most findings here are descriptive or mechanistic rather than evidence about treatment. Much of what is known comes from dissection, imaging, tissue studies and experiments in animals, and measurements in healthy volunteers can differ from those in people with disease or at different ages. Normal ranges vary between individuals and populations. Check whether a result was measured in people or in another species, the age and health of the participants, and the method used.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Association of Glycemic Indices (Hyperglycemia, Glucose Variability, and Hypoglycemia) with Oxidative Stress and Diabetic Complications
Papachristoforou E, Lambadiari V, Maratou E, Makrilakis K
2020Review article
Design not recorded in structured metadata
327cc by
PMID 33123598 · DOI · PMC7585656
Relevance of the Glycemic Index and Glycemic Load for Body Weight, Diabetes, and Cardiovascular Disease
Vega-López S, Venn BJ, Slavin JL
2018Review article
Design not recorded in structured metadata
113cc by
PMID 30249012 · DOI · PMC6213615
Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: Assessment of Causal Relations
Livesey G, Taylor R, Livesey HF, Buyken AE, Jenkins DJA, Augustin LSA, et al.
2019Meta-analysis
Design not recorded in structured metadata
104cc by
PMID 31242690 · DOI · PMC6628270
Low glycaemic index diet in pregnancy and child asthma: follow-up of the ROLO trial
Callanan S, Talaei M, Delahunt A, Shaheen SO, McAuliffe FM
2026Randomized controlled trial
Design not recorded in structured metadata
3cc by
PMID 39466114 · DOI · PMC13161524

Association of Glycemic Indices (Hyperglycemia, Glucose Variability, and Hypoglycemia) with Oxidative Stress and Diabetic Complications [1]

Review article Papachristoforou E, Lambadiari V, Maratou E, Makrilakis K · · 2020 · cited 327 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Oxidative stress (OS) is defined as a disturbance in the prooxidant-antioxidant balance of the cell, in favor of the former, which results in the antioxidant capacity of the cell to be overpowered.
Closing excerpt
, hyperglycemia, glucose variability, and hypoglycemia) with oxidative stress will be reviewed here.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (232 words)

Oxidative stress (OS) is defined as a disturbance in the prooxidant-antioxidant balance of the cell, in favor of the former, which results in the antioxidant capacity of the cell to be overpowered. Excess reactive oxygen species (ROS) production is very harmful to cell constituents, especially proteins, lipids, and DNA, thus causing damage to the cell. Oxidative stress has been associated with a variety of pathologic conditions, including diabetes mellitus (DM), cancer, atherosclerosis, neurodegenerative diseases, rheumatoid arthritis, ischemia/reperfusion injury, obstructive sleep apnea, and accelerated aging. Regarding DM specifically, previous experimental and clinical studies have pointed to the fact that oxidative stress probably plays a major role in the pathogenesis and development of diabetic complications. It is postulated that hyperglycemia induces free radicals and impairs endogenous antioxidant defense systems through several different mechanisms. In particular, hyperglycemia promotes the creation of advanced glycation end-products (AGEs), the activation of protein kinase C (PKC), and the hyperactivity of hexosamine and sorbitol pathways, leading to the development of insulin resistance, impaired insulin secretion, and endothelial dysfunction, by inducing excessive ROS production and OS. Furthermore, glucose variability has been associated with OS as well, and recent evidence suggests that also hypoglycemia may be playing an important role in favoring diabetic vascular complications through OS, inflammation, prothrombotic events, and endothelial dysfunction. The association of these diabetic parameters (i.e., hyperglycemia, glucose variability, and hypoglycemia) with oxidative stress will be reviewed here.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33123598 · DOI · PMC7585656

Relevance of the Glycemic Index and Glycemic Load for Body Weight, Diabetes, and Cardiovascular Disease [2]

Review article Vega-López S, Venn BJ, Slavin JL · · 2018 · cited 113 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Despite initial enthusiasm, the relationship between glycemic index (GI) and glycemic response (GR) and disease prevention remains unclear.
Closing excerpt
Interest in food patterns as predictors of health benefits may be more fruitful for research to inform dietary guidance.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (202 words)

Despite initial enthusiasm, the relationship between glycemic index (GI) and glycemic response (GR) and disease prevention remains unclear. This review examines evidence from randomized, controlled trials and observational studies in humans for short-term (e.g., satiety) and long-term (e.g., weight, cardiovascular disease, and type 2 diabetes) health effects associated with different types of GI diets. A systematic PubMed search was conducted of studies published between 2006 and 2018 with key words glycemic index, glycemic load, diabetes, cardiovascular disease, body weight, satiety, and obesity. Criteria for inclusion for observational studies and randomized intervention studies were set. The search yielded 445 articles, of which 73 met inclusion criteria. Results suggest an equivocal relationship between GI/GR and disease outcome. The strongest intervention studies typically find little relationship among GI/GR and physiological measures of disease risk. Even for observational studies, the relationship between GI/GR and disease outcomes is limited. Thus, it is unlikely that the GI of a food or diet is linked to disease risk or health outcomes. Other measures of dietary quality, such as fiber or whole grains may be more likely to predict health outcomes. Interest in food patterns as predictors of health benefits may be more fruitful for research to inform dietary guidance.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 30249012 · DOI · PMC6213615

Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: Assessment of Causal Relations [3]

Meta-analysis Livesey G, Taylor R, Livesey HF, Buyken AE, Jenkins DJA, Augustin LSA, et al. · · 2019 · cited 104 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
While dietary factors are important modifiable risk factors for type 2 diabetes (T2D), the causal role of carbohydrate quality in nutrition remains controversial.
Closing excerpt
The high confidence in causal associations for incident T2D is sufficient to consider inclusion of GI and GL in food and nutrient-based recommendations.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (238 words)

While dietary factors are important modifiable risk factors for type 2 diabetes (T2D), the causal role of carbohydrate quality in nutrition remains controversial. Dietary glycemic index (GI) and glycemic load (GL) have been examined in relation to the risk of T2D in multiple prospective cohort studies. Previous meta-analyses indicate significant relations but consideration of causality has been minimal. Here, the results of our recent meta-analyses of prospective cohort studies of 4 to 26-y follow-up are interpreted in the context of the nine Bradford-Hill criteria for causality, that is: (1) Strength of Association, (2) Consistency, (3) Specificity, (4) Temporality, (5) Biological Gradient, (6) Plausibility, (7) Experimental evidence, (8) Analogy, and (9) Coherence. These criteria necessitated referral to a body of literature wider than prospective cohort studies alone, especially in criteria 6 to 9. In this analysis, all nine of the Hill's criteria were met for GI and GL indicating that we can be confident of a role for GI and GL as causal factors contributing to incident T2D. In addition, neither dietary fiber nor cereal fiber nor wholegrain were found to be reliable or effective surrogate measures of GI or GL. Finally, our cost-benefit analysis suggests food and nutrition advice favors lower GI or GL and would produce significant potential cost savings in national healthcare budgets. The high confidence in causal associations for incident T2D is sufficient to consider inclusion of GI and GL in food and nutrient-based recommendations.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 31242690 · DOI · PMC6628270

Low glycaemic index diet in pregnancy and child asthma: follow-up of the ROLO trial [4]

Randomized controlled trial Callanan S, Talaei M, Delahunt A, Shaheen SO, McAuliffe FM · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Epidemiological evidence suggests that a higher intake of sugar during pregnancy is associated with a higher risk of childhood asthma and atopy.
Closing excerpt
A low GI diet in pregnancy may reduce the risk of developing asthma in childhood, particularly amongst children born to mothers with lower educational attainment.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (266 words)

Epidemiological evidence suggests that a higher intake of sugar during pregnancy is associated with a higher risk of childhood asthma and atopy. However, randomised trial evidence supporting such a link is lacking. This study aimed to examine whether a low glycaemic index (GI) dietary intervention during pregnancy decreases the risk of childhood asthma and eczema. This is a secondary analysis of 514 children from the ROLO trial. Healthy women were randomised to receive an intervention of low GI dietary advice or routine care from early pregnancy. Mothers reported current doctor-diagnosed eczema in their children at 2 years (n 271) and current doctor-diagnosed asthma and eczema in their children at 5 (n 357) and 9-11 years (n 391) of age. Multivariable logistic regression models were used test the effect of the intervention on child outcomes overall and stratified by maternal education. There was a suggestion of a reduction in asthma at 5 years of age in children whose mothers received the low GI dietary intervention during pregnancy compared with usual care (adjusted OR 0·46 (95 % CI 0·19, 1·09); P = 0·08). In stratified adjusted analyses, the intervention was associated with a reduced risk of asthma at 5 years of age in children born to mothers with incomplete tertiary level education but not in those with complete tertiary level education (OR 0·14 (95 % CI 0·02, 0·69); P = 0·010 and OR 1·03 (95 % CI 0·34, 3·13); P = 0·94, respectively). A low GI diet in pregnancy may reduce the risk of developing asthma in childhood, particularly amongst children born to mothers with lower educational attainment.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39466114 · DOI · PMC13161524

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Glycemic index, glycemic load, and chronic disease risk--a meta-analysis of observational studies [5]
    Barclay AW, Petocz P, McMillan-Price J, Flood VM, Prvan T, Mitchell P, et al. · Am J Clin Nutr · 2008 · cited 649 times (Europe PMC)
  • Research article Glycemic index, glycemic load and glycemic response: An International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC) [6]
    Augustin LSA, Kendall CWC, Jenkins DJA, Willett WC, Astrup A, Barclay AW, et al. · Nutr Metab Cardiovasc Dis · 2015 · cited 423 times (Europe PMC)
  • Research article Exercise-stimulated glucose uptake - regulation and implications for glycaemic control [7]
    Sylow L, Kleinert M, Richter EA, Jensen TE · Nat Rev Endocrinol · 2017 · cited 360 times (Europe PMC)
  • Research article Bile acids in glucose metabolism and insulin signalling - mechanisms and research needs [8]
    Ahmad TR, Haeusler RA · Nat Rev Endocrinol · 2019 · cited 279 times (Europe PMC)
  • Research article Slowly digestible starch: concept, mechanism, and proposed extended glycemic index [9]
    Zhang G, Hamaker BR · Crit Rev Food Sci Nutr · 2009 · cited 264 times (Europe PMC)
  • Research article Glycemic response and health--a systematic review and meta-analysis: relations between dietary glycemic properties and health outcomes [10]
    Livesey G, Taylor R, Hulshof T, Howlett J · Am J Clin Nutr · 2008 · cited 246 times (Europe PMC)

References

  1. Papachristoforou E, Lambadiari V, Maratou E, Makrilakis K. Association of Glycemic Indices (Hyperglycemia, Glucose Variability, and Hypoglycemia) with Oxidative Stress and Diabetic Complications. . 2020. PMID 33123598 · DOI · PMC7585656
  2. Vega-López S, Venn BJ, Slavin JL. Relevance of the Glycemic Index and Glycemic Load for Body Weight, Diabetes, and Cardiovascular Disease. . 2018. PMID 30249012 · DOI · PMC6213615
  3. Livesey G, Taylor R, Livesey HF, Buyken AE, Jenkins DJA, Augustin LSA, et al.. Dietary Glycemic Index and Load and the Risk of Type 2 Diabetes: Assessment of Causal Relations. . 2019. PMID 31242690 · DOI · PMC6628270
  4. Callanan S, Talaei M, Delahunt A, Shaheen SO, McAuliffe FM. Low glycaemic index diet in pregnancy and child asthma: follow-up of the ROLO trial. . 2026. PMID 39466114 · DOI · PMC13161524
  5. Barclay AW, Petocz P, McMillan-Price J, Flood VM, Prvan T, Mitchell P, et al.. Glycemic index, glycemic load, and chronic disease risk--a meta-analysis of observational studies. Am J Clin Nutr. 2008. PMID 18326601 · DOI
  6. Augustin LSA, Kendall CWC, Jenkins DJA, Willett WC, Astrup A, Barclay AW, et al.. Glycemic index, glycemic load and glycemic response: An International Scientific Consensus Summit from the International Carbohydrate Quality Consortium (ICQC). Nutr Metab Cardiovasc Dis. 2015. PMID 26160327 · DOI
  7. Sylow L, Kleinert M, Richter EA, Jensen TE. Exercise-stimulated glucose uptake - regulation and implications for glycaemic control. Nat Rev Endocrinol. 2017. PMID 27739515 · DOI
  8. Ahmad TR, Haeusler RA. Bile acids in glucose metabolism and insulin signalling - mechanisms and research needs. Nat Rev Endocrinol. 2019. PMID 31616073 · DOI · PMC6918475
  9. Zhang G, Hamaker BR. Slowly digestible starch: concept, mechanism, and proposed extended glycemic index. Crit Rev Food Sci Nutr. 2009. PMID 19960393 · DOI
  10. Livesey G, Taylor R, Hulshof T, Howlett J. Glycemic response and health--a systematic review and meta-analysis: relations between dietary glycemic properties and health outcomes. Am J Clin Nutr. 2008. PMID 18175766 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-31.

See how EvidenceLib is built. Spotted an error? Email support@evidencehelix.com.

Evidence strength

EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.

Included with the Researcher plan

Reading every article stays free. This computed view is part of the paid plans.

See plans Sign in

Your notes

Notes and highlights stay in this browser only; they are not sent to EvidenceHelix.

Related research topics

  • Nutritive ValueAnatomy and Physiology
  • AppetiteAnatomy and Physiology
  • Caloric RestrictionAnatomy and Physiology
  • Feeding BehaviorAnatomy and Physiology
  • Intermittent FastingAnatomy and Physiology
  • Nutritional RequirementsAnatomy and Physiology

All 542 articles in Anatomy and Physiology →

At a glance

4,161
PubMed records on this heading
24%
published since 2020
773
review articles
918
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Nutritive ValueAnatomy and Physiology
  • AppetiteAnatomy and Physiology
  • Caloric RestrictionAnatomy and Physiology
  • Feeding BehaviorAnatomy and Physiology
  • Intermittent FastingAnatomy and Physiology

My notes & annotations (0)

Nothing yet. Select text and press Highlight, or write a note in the Notes tab. Stored in this browser only.

Sources

  • NLM MeSH record ↗
  • PubMed search used ↗

EvidenceLib is a research-education resource, not medical advice. It does not diagnose, prescribe or recommend starting, stopping or changing any treatment. Talk to a qualified clinician about your own situation. Methods, sources and licences · Legal · Support